TY - JOUR
T1 - Brain-predicted age difference is associated with the progression of subthreshold depression
T2 - evidence from the UK Biobank
AU - Dai, Haowei
AU - Niu, Lijing
AU - Zhu, Qingzi
AU - Zeng, Yuanyuan
AU - Ying, Yutong
AU - Yin, Xueping
AU - Liang, Xiangyi
AU - Wang, Xingqin
AU - Zhou, Bihua
AU - Ma, Qing
AU - Zhang, Ruibin
N1 - Publisher Copyright:
© The Author(s) 2026. Published by Oxford University Press on behalf of West China School of Medicine/West China Hospital (WCSM/WCH) of Sichuan University.
PY - 2026
Y1 - 2026
N2 - Background: Previous studies have reported accelerated brain aging in individuals with major depressive disorder (MDD) compared to healthy controls. However, these findings are based primarily on cross-sectional data, limiting dynamic association between brain aging and MDD. Here, we examined the relationship between brain aging and MDD progression by focusing on subthreshold depression, a prodromal stage of MDD, and aimed to determine whether quantitative markers of brain aging exhibit a stable association with disease progression. Methods: Using neuroimaging data from the UK Biobank and a support vector regression (SVR) model, we predicted brain age in individuals who exhibited subthreshold depressive symptoms at baseline but showed divergent mental status at follow-up, and then conducted between-group comparisons. Logistic regression was then applied to assess whether brain-predicted age difference (Brain-PAD) stably associates with the progression of subthreshold depression after adjusting for covariates. Results: Individuals with subthreshold depression showed a higher risk of progression to MDD compared to healthy controls. Those whose condition worsened from subthreshold depression to MDD exhibited greater brain aging than those who remained subthreshold or recovered. Importantly, Brain-PAD remained significantly and stably associated with this progression after controlling for sex, ethnicity, lifestyle, and socioeconomic factors. Conclusions: This study supports an association between brain aging and MDD progression and demonstrates a robust association between an increased Brain-PAD and the conversion from subthreshold depression to MDD. These findings enhance our understanding of MDD’s developmental trajectory and suggest that Brain-PAD may facilitate early detection and intervention targeting brain aging.
AB - Background: Previous studies have reported accelerated brain aging in individuals with major depressive disorder (MDD) compared to healthy controls. However, these findings are based primarily on cross-sectional data, limiting dynamic association between brain aging and MDD. Here, we examined the relationship between brain aging and MDD progression by focusing on subthreshold depression, a prodromal stage of MDD, and aimed to determine whether quantitative markers of brain aging exhibit a stable association with disease progression. Methods: Using neuroimaging data from the UK Biobank and a support vector regression (SVR) model, we predicted brain age in individuals who exhibited subthreshold depressive symptoms at baseline but showed divergent mental status at follow-up, and then conducted between-group comparisons. Logistic regression was then applied to assess whether brain-predicted age difference (Brain-PAD) stably associates with the progression of subthreshold depression after adjusting for covariates. Results: Individuals with subthreshold depression showed a higher risk of progression to MDD compared to healthy controls. Those whose condition worsened from subthreshold depression to MDD exhibited greater brain aging than those who remained subthreshold or recovered. Importantly, Brain-PAD remained significantly and stably associated with this progression after controlling for sex, ethnicity, lifestyle, and socioeconomic factors. Conclusions: This study supports an association between brain aging and MDD progression and demonstrates a robust association between an increased Brain-PAD and the conversion from subthreshold depression to MDD. These findings enhance our understanding of MDD’s developmental trajectory and suggest that Brain-PAD may facilitate early detection and intervention targeting brain aging.
KW - brain aging
KW - brain-predicted age difference
KW - machine learning
KW - major depressive disorder
KW - subthreshold depression
UR - https://www.scopus.com/pages/publications/105036673774
U2 - 10.1093/psyrad/kkag005
DO - 10.1093/psyrad/kkag005
M3 - 文章
AN - SCOPUS:105036673774
SN - 2634-4416
VL - 6
JO - Psychoradiology
JF - Psychoradiology
ER -